ICYMI: A browser extension that automatically finds code implementations for machine learning papers anywhere on the web (Google, Arxiv, Twitter, Scholar, and other sites)!
@ArtificialIntelligenceArticles
https://chrome.google.com/webstore/detail/mlai-code-implementation/aikkeehnlfpamidigaffhfmgbkdeheil
https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
https://chrome.google.com/webstore/detail/mlai-code-implementation/aikkeehnlfpamidigaffhfmgbkdeheil
https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/
@ArtificialIntelligenceArticles
Deep Learning with Keras Series By Ali Masri
1. Deep Learning with Keras Tutorial https://www.marktechpost.com/2019/06/11/deep-learning-with-keras-tutorial-part-1/
2. Data Pre-processing for Deep Learning models https://www.marktechpost.com/2019/06/14/data-pre-processing-for-deep-learning-models-deep-learning-with-keras-part-2/
3. Regression with Keras https://www.marktechpost.com/2019/06/17/regression-with-keras-deep-learning-with-keras-part-3/
4. Classification https://www.marktechpost.com/2019/06/24/deep-learning-with-keras-part-4-classification/
5. Convolutional Neural Networks https://www.marktechpost.com/2019/07/04/deep-learning-with-keras-part-5-convolutional-neural-networks/
6. Textual Data Preprocessing https://www.marktechpost.com/2019/09/13/deep-learning-with-keras-part-6-textual-data-preprocessing/
7. Recurrent Neural Networks https://www.marktechpost.com/2019/10/01/deep-learning-with-keras-part-7-recurrent-neural-networks/
1. Deep Learning with Keras Tutorial https://www.marktechpost.com/2019/06/11/deep-learning-with-keras-tutorial-part-1/
2. Data Pre-processing for Deep Learning models https://www.marktechpost.com/2019/06/14/data-pre-processing-for-deep-learning-models-deep-learning-with-keras-part-2/
3. Regression with Keras https://www.marktechpost.com/2019/06/17/regression-with-keras-deep-learning-with-keras-part-3/
4. Classification https://www.marktechpost.com/2019/06/24/deep-learning-with-keras-part-4-classification/
5. Convolutional Neural Networks https://www.marktechpost.com/2019/07/04/deep-learning-with-keras-part-5-convolutional-neural-networks/
6. Textual Data Preprocessing https://www.marktechpost.com/2019/09/13/deep-learning-with-keras-part-6-textual-data-preprocessing/
7. Recurrent Neural Networks https://www.marktechpost.com/2019/10/01/deep-learning-with-keras-part-7-recurrent-neural-networks/
MarkTechPost
Deep Learning with Keras Tutorial - Part 1
This series aims to introduce the Keras deep learning library and how to use it to train various deep learning models.deep learning
MIDAS: Real-time Streaming Anomaly Detection in Dynamic Graphs (AI Paper Summary)
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
Paper: https://arxiv.org/abs/1911.04464
Github: https://github.com/Stream-AD/MIDAS
Presentation: https://www.youtube.com/watch?v=joPXrfZIJEM
GitHub
GitHub - Stream-AD/MIDAS: Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusionsโฆ
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Arash Vahdat, Jan Kautz : https://arxiv.org/abs/2007.03898
#ArtificialIntelligence #DeepLearning #VariationalAutoencoder
Full Stack Deep Learning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Tobin et al.: https://course.fullstackdeeplearning.com
#ArtificialIntelligence #DeepLearning #MachineLearning
Fullstackdeeplearning
Full Stack Deep Learning | Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
ArtificialIntelligenceArticles
Photo
Online Lecture Series, Techfest, IIT Bombay is back with another highly inspiring leader, ๐๐ป๐ฑ๐ฟ๐ฒ๐ ๐ก๐ด!
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.
Being the ๐๐ผ-๐๐ผ๐๐ป๐ฑ๐ฒ๐ฟ ๐ผ๐ณ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ and ๐ฑ๐ฒ๐ฒ๐ฝ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด.๐ฎ๐ถ , he has taught millions of eager learners worldwide through his online courses. He is also the mastermind behind ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ฟ๐ฎ๐ถ๐ป, a deep learning research team at Google which combines open-ended machine learning research with information systems and large-scale computing resources.
Professor of Computer Science and Electrical Engineering at ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ ๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐, he has undertaken several research projects related to data mining and machine learning. His work has earned him several awards and he has gifted the world of technology with hundreds of his published papers.
Watch Prof. Andrew Ng talk about his life journey and experience, and the future of AI and its impact on the society with ๐ฃ๐ฟ๐ผ๐ณ. ๐ฃ๐ฟ๐ฒ๐ฒ๐๐ต๐ถ ๐๐๐ผ๐๐ต๐ถ, CSE Department, IIT Bombay as host on ๐ง๐ฒ๐ฐ๐ต๐ณ๐ฒ๐๐โ๐ ๐ฌ๐ผ๐๐ง๐๐ฏ๐ฒ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น on ๐ญ๐ญ๐๐ต ๐๐๐น๐ ๐ฎ๐ฌ๐ฎ๐ฌ at ๐ณ ๐ฃ๐ ๐๐ฆ๐ง.
.
Link for the session - https://youtu.be/IpuocVMUOR0
.
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.
Being the ๐๐ผ-๐๐ผ๐๐ป๐ฑ๐ฒ๐ฟ ๐ผ๐ณ ๐๐ผ๐๐ฟ๐๐ฒ๐ฟ๐ฎ and ๐ฑ๐ฒ๐ฒ๐ฝ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด.๐ฎ๐ถ , he has taught millions of eager learners worldwide through his online courses. He is also the mastermind behind ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ฟ๐ฎ๐ถ๐ป, a deep learning research team at Google which combines open-ended machine learning research with information systems and large-scale computing resources.
Professor of Computer Science and Electrical Engineering at ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ ๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐, he has undertaken several research projects related to data mining and machine learning. His work has earned him several awards and he has gifted the world of technology with hundreds of his published papers.
Watch Prof. Andrew Ng talk about his life journey and experience, and the future of AI and its impact on the society with ๐ฃ๐ฟ๐ผ๐ณ. ๐ฃ๐ฟ๐ฒ๐ฒ๐๐ต๐ถ ๐๐๐ผ๐๐ต๐ถ, CSE Department, IIT Bombay as host on ๐ง๐ฒ๐ฐ๐ต๐ณ๐ฒ๐๐โ๐ ๐ฌ๐ผ๐๐ง๐๐ฏ๐ฒ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น on ๐ญ๐ญ๐๐ต ๐๐๐น๐ ๐ฎ๐ฌ๐ฎ๐ฌ at ๐ณ ๐ฃ๐ ๐๐ฆ๐ง.
.
Link for the session - https://youtu.be/IpuocVMUOR0
.
YouTube
Future of AI | Andrew Ng, Co-Founder of Coursera | Online Lecture Series | Techfest, IIT Bombay
Online Lecture Series, Techfest, IIT Bombay is back with another highly inspiring leader, Andrew Ng!
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.โฆ
When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first.โฆ
@ArtificialIntelligenceArticles
https://www.frontiersin.org/articles/10.3389/frai.2020.00030/full
@ArtificialIntelligenceArticles
https://www.frontiersin.org/articles/10.3389/frai.2020.00030/full
@ArtificialIntelligenceArticles
Frontiers
An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theoriesโฆ
The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the understanding that persisting systems must regulate environmental exchanges and prevent entropic accumulation. In FEP-AI, minds and brains are predictive controllers for autonomousโฆ
papers CVPR 2020
[https://www.youtube.com/watch?v=T82LYbWr_oc](https://www.youtube.com/watch?v=T82LYbWr_oc)
[https://www.youtube.com/watch?v=T82LYbWr_oc](https://www.youtube.com/watch?v=T82LYbWr_oc)
YouTube
CVPR 2020 Paper Compilation - TUM Visual Computing Lab & Collaborators
Eight CVPR Papers from the TUM Visual Computing Lab & Collaborators:
Learning to Optimize Non-Rigid Tracking
https://niessnerlab.org/projects/li2020learning.html
Yang Li, Aljaลพ Boลพiฤ, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nieรner
3D-MPA: Multiโฆ
Learning to Optimize Non-Rigid Tracking
https://niessnerlab.org/projects/li2020learning.html
Yang Li, Aljaลพ Boลพiฤ, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nieรner
3D-MPA: Multiโฆ
ICML 2020- International Conference on Machine Learning
Oral Presentation Collection (Videos)
https://crossminds.ai/category/ICML%202020
Oral Presentation Collection (Videos)
https://crossminds.ai/category/ICML%202020
Crossminds
ICML 2020 - CrossMinds.ai
MIT researchers find โsystematicโ shortcomings in ImageNet data set
https://venturebeat.com/2020/07/15/mit-researchers-find-systematic-shortcomings-in-imagenet-data-set/
@ArtificialIntelligenceArticles
https://venturebeat.com/2020/07/15/mit-researchers-find-systematic-shortcomings-in-imagenet-data-set/
@ArtificialIntelligenceArticles
VentureBeat
MIT researchers find โsystematicโ shortcomings in ImageNet data set
MIT researchers say the influential ImageNet data set has "systematic annotation issues" when used as a benchmark for evaluating object recognition models.
join --- Deep Learning's legend - Prof Yoshua Bengio (https://en.wikipedia.org/wiki/Yoshua_Bengio) on 'Towards Deep Learning 2.0'.
The lecture details are:
Date: Wed, July 22, 2020
Time: 01:15 pm โ 02:15 pm (UK time - GMT+1)
zoom link to webcast: https://us02web.zoom.us/j/85716233453
The lecture details are:
Date: Wed, July 22, 2020
Time: 01:15 pm โ 02:15 pm (UK time - GMT+1)
zoom link to webcast: https://us02web.zoom.us/j/85716233453
Wikipedia
Yoshua Bengio
Canadian computer scientist (born 1964)
โWhatโs the next big trend in programming? Maybe itโs sloppy programmingโ โ Guy Steele on the Future of Programming Languages
https://medium.com/intuitionmachine/why-gpt-3-feels-like-programming-bf9d854c1d82
https://medium.com/intuitionmachine/why-gpt-3-feels-like-programming-bf9d854c1d82
Medium
Why GPT-3 feels like Programming
โWhatโs the next big trend in programming? Maybe itโs sloppy programmingโโโโGuy Steele on the Future of Programming Languages
How To Trick DeepLearning Algorithms Into Doing New Things
The Black-Box Adversarial Reprogramming (BAR)
https://bdtechtalks.com/2020/07/20/black-box-adversarial-reprogramming/
The Black-Box Adversarial Reprogramming (BAR)
https://bdtechtalks.com/2020/07/20/black-box-adversarial-reprogramming/
TechTalks - Technology solving problems... and creating new ones
How to trick deep learning algorithms into doing new things - TechTalks
Black-box adversarial reprogramming can repurpose neural networks for new tasks without having full access to the deep learning model.